Chris@320: /* -*- c-basic-offset: 4 indent-tabs-mode: nil -*-  vi:set ts=8 sts=4 sw=4: */
Chris@320: 
Chris@320: /*
Chris@320:     Sonic Visualiser
Chris@320:     An audio file viewer and annotation editor.
Chris@320:     Centre for Digital Music, Queen Mary, University of London.
Chris@320:     This file copyright 2006 Chris Cannam and QMUL.
Chris@320:     
Chris@320:     This program is free software; you can redistribute it and/or
Chris@320:     modify it under the terms of the GNU General Public License as
Chris@320:     published by the Free Software Foundation; either version 2 of the
Chris@320:     License, or (at your option) any later version.  See the file
Chris@320:     COPYING included with this distribution for more information.
Chris@320: */
Chris@320: 
Chris@331: #include "FeatureExtractionModelTransformer.h"
Chris@320: 
Chris@320: #include "plugin/FeatureExtractionPluginFactory.h"
Chris@320: #include "plugin/PluginXml.h"
Chris@320: #include "vamp-sdk/Plugin.h"
Chris@320: 
Chris@320: #include "data/model/Model.h"
Chris@320: #include "base/Window.h"
Chris@320: #include "data/model/SparseOneDimensionalModel.h"
Chris@320: #include "data/model/SparseTimeValueModel.h"
Chris@320: #include "data/model/EditableDenseThreeDimensionalModel.h"
Chris@320: #include "data/model/DenseTimeValueModel.h"
Chris@320: #include "data/model/NoteModel.h"
Chris@320: #include "data/model/FFTModel.h"
Chris@320: #include "data/model/WaveFileModel.h"
Chris@320: 
Chris@320: #include <QMessageBox>
Chris@320: 
Chris@320: #include <iostream>
Chris@320: 
Chris@331: FeatureExtractionModelTransformer::FeatureExtractionModelTransformer(Model *inputModel,
Chris@320: 								   QString pluginId,
Chris@320:                                                                    const ExecutionContext &context,
Chris@320:                                                                    QString configurationXml,
Chris@320: 								   QString outputName) :
Chris@328:     PluginTransformer(inputModel, context),
Chris@320:     m_plugin(0),
Chris@320:     m_descriptor(0),
Chris@320:     m_outputFeatureNo(0)
Chris@320: {
Chris@331: //    std::cerr << "FeatureExtractionModelTransformer::FeatureExtractionModelTransformer: plugin " << pluginId.toStdString() << ", outputName " << outputName.toStdString() << std::endl;
Chris@320: 
Chris@320:     FeatureExtractionPluginFactory *factory =
Chris@320: 	FeatureExtractionPluginFactory::instanceFor(pluginId);
Chris@320: 
Chris@320:     if (!factory) {
Chris@331: 	std::cerr << "FeatureExtractionModelTransformer: No factory available for plugin id \""
Chris@320: 		  << pluginId.toStdString() << "\"" << std::endl;
Chris@320: 	return;
Chris@320:     }
Chris@320: 
Chris@320:     m_plugin = factory->instantiatePlugin(pluginId, m_input->getSampleRate());
Chris@320: 
Chris@320:     if (!m_plugin) {
Chris@331: 	std::cerr << "FeatureExtractionModelTransformer: Failed to instantiate plugin \""
Chris@320: 		  << pluginId.toStdString() << "\"" << std::endl;
Chris@320: 	return;
Chris@320:     }
Chris@320: 
Chris@320:     if (configurationXml != "") {
Chris@320:         PluginXml(m_plugin).setParametersFromXml(configurationXml);
Chris@320:     }
Chris@320: 
Chris@320:     DenseTimeValueModel *input = getInput();
Chris@320:     if (!input) return;
Chris@320: 
Chris@320:     size_t channelCount = input->getChannelCount();
Chris@320:     if (m_plugin->getMaxChannelCount() < channelCount) {
Chris@320: 	channelCount = 1;
Chris@320:     }
Chris@320:     if (m_plugin->getMinChannelCount() > channelCount) {
Chris@331: 	std::cerr << "FeatureExtractionModelTransformer:: "
Chris@320: 		  << "Can't provide enough channels to plugin (plugin min "
Chris@320: 		  << m_plugin->getMinChannelCount() << ", max "
Chris@320: 		  << m_plugin->getMaxChannelCount() << ", input model has "
Chris@320: 		  << input->getChannelCount() << ")" << std::endl;
Chris@320: 	return;
Chris@320:     }
Chris@320: 
Chris@320:     std::cerr << "Initialising feature extraction plugin with channels = "
Chris@320:               << channelCount << ", step = " << m_context.stepSize
Chris@320:               << ", block = " << m_context.blockSize << std::endl;
Chris@320: 
Chris@320:     if (!m_plugin->initialise(channelCount,
Chris@320:                               m_context.stepSize,
Chris@320:                               m_context.blockSize)) {
Chris@331:         std::cerr << "FeatureExtractionModelTransformer: Plugin "
Chris@320:                   << m_plugin->getIdentifier() << " failed to initialise!" << std::endl;
Chris@320:         return;
Chris@320:     }
Chris@320: 
Chris@320:     Vamp::Plugin::OutputList outputs = m_plugin->getOutputDescriptors();
Chris@320: 
Chris@320:     if (outputs.empty()) {
Chris@331: 	std::cerr << "FeatureExtractionModelTransformer: Plugin \""
Chris@320: 		  << pluginId.toStdString() << "\" has no outputs" << std::endl;
Chris@320: 	return;
Chris@320:     }
Chris@320:     
Chris@320:     for (size_t i = 0; i < outputs.size(); ++i) {
Chris@320: 	if (outputName == "" || outputs[i].identifier == outputName.toStdString()) {
Chris@320: 	    m_outputFeatureNo = i;
Chris@320: 	    m_descriptor = new Vamp::Plugin::OutputDescriptor
Chris@320: 		(outputs[i]);
Chris@320: 	    break;
Chris@320: 	}
Chris@320:     }
Chris@320: 
Chris@320:     if (!m_descriptor) {
Chris@331: 	std::cerr << "FeatureExtractionModelTransformer: Plugin \""
Chris@320: 		  << pluginId.toStdString() << "\" has no output named \""
Chris@320: 		  << outputName.toStdString() << "\"" << std::endl;
Chris@320: 	return;
Chris@320:     }
Chris@320: 
Chris@331: //    std::cerr << "FeatureExtractionModelTransformer: output sample type "
Chris@320: //	      << m_descriptor->sampleType << std::endl;
Chris@320: 
Chris@320:     int binCount = 1;
Chris@320:     float minValue = 0.0, maxValue = 0.0;
Chris@320:     bool haveExtents = false;
Chris@320:     
Chris@320:     if (m_descriptor->hasFixedBinCount) {
Chris@320: 	binCount = m_descriptor->binCount;
Chris@320:     }
Chris@320: 
Chris@331: //    std::cerr << "FeatureExtractionModelTransformer: output bin count "
Chris@320: //	      << binCount << std::endl;
Chris@320: 
Chris@320:     if (binCount > 0 && m_descriptor->hasKnownExtents) {
Chris@320: 	minValue = m_descriptor->minValue;
Chris@320: 	maxValue = m_descriptor->maxValue;
Chris@320:         haveExtents = true;
Chris@320:     }
Chris@320: 
Chris@320:     size_t modelRate = m_input->getSampleRate();
Chris@320:     size_t modelResolution = 1;
Chris@320:     
Chris@320:     switch (m_descriptor->sampleType) {
Chris@320: 
Chris@320:     case Vamp::Plugin::OutputDescriptor::VariableSampleRate:
Chris@320: 	if (m_descriptor->sampleRate != 0.0) {
Chris@320: 	    modelResolution = size_t(modelRate / m_descriptor->sampleRate + 0.001);
Chris@320: 	}
Chris@320: 	break;
Chris@320: 
Chris@320:     case Vamp::Plugin::OutputDescriptor::OneSamplePerStep:
Chris@320: 	modelResolution = m_context.stepSize;
Chris@320: 	break;
Chris@320: 
Chris@320:     case Vamp::Plugin::OutputDescriptor::FixedSampleRate:
Chris@320: 	modelRate = size_t(m_descriptor->sampleRate + 0.001);
Chris@320: 	break;
Chris@320:     }
Chris@320: 
Chris@320:     if (binCount == 0) {
Chris@320: 
Chris@320: 	m_output = new SparseOneDimensionalModel(modelRate, modelResolution,
Chris@320: 						 false);
Chris@320: 
Chris@320:     } else if (binCount == 1) {
Chris@320: 
Chris@320:         SparseTimeValueModel *model;
Chris@320:         if (haveExtents) {
Chris@320:             model = new SparseTimeValueModel
Chris@320:                 (modelRate, modelResolution, minValue, maxValue, false);
Chris@320:         } else {
Chris@320:             model = new SparseTimeValueModel
Chris@320:                 (modelRate, modelResolution, false);
Chris@320:         }
Chris@320:         model->setScaleUnits(outputs[m_outputFeatureNo].unit.c_str());
Chris@320: 
Chris@320:         m_output = model;
Chris@320: 
Chris@320:     } else if (m_descriptor->sampleType ==
Chris@320: 	       Vamp::Plugin::OutputDescriptor::VariableSampleRate) {
Chris@320: 
Chris@320:         // We don't have a sparse 3D model, so interpret this as a
Chris@320:         // note model.  There's nothing to define which values to use
Chris@320:         // as which parameters of the note -- for the moment let's
Chris@320:         // treat the first as pitch, second as duration in frames,
Chris@320:         // third (if present) as velocity. (Our note model doesn't
Chris@320:         // yet store velocity.)
Chris@320:         //!!! todo: ask the user!
Chris@320: 	
Chris@320:         NoteModel *model;
Chris@320:         if (haveExtents) {
Chris@320:             model = new NoteModel
Chris@320:                 (modelRate, modelResolution, minValue, maxValue, false);
Chris@320:         } else {
Chris@320:             model = new NoteModel
Chris@320:                 (modelRate, modelResolution, false);
Chris@320:         }            
Chris@320:         model->setScaleUnits(outputs[m_outputFeatureNo].unit.c_str());
Chris@320: 
Chris@320:         m_output = model;
Chris@320: 
Chris@320:     } else {
Chris@320: 
Chris@320:         EditableDenseThreeDimensionalModel *model =
Chris@320:             new EditableDenseThreeDimensionalModel
Chris@320:             (modelRate, modelResolution, binCount, false);
Chris@320: 
Chris@320: 	if (!m_descriptor->binNames.empty()) {
Chris@320: 	    std::vector<QString> names;
Chris@320: 	    for (size_t i = 0; i < m_descriptor->binNames.size(); ++i) {
Chris@320: 		names.push_back(m_descriptor->binNames[i].c_str());
Chris@320: 	    }
Chris@320: 	    model->setBinNames(names);
Chris@320: 	}
Chris@320:         
Chris@320:         m_output = model;
Chris@320:     }
Chris@333: 
Chris@333:     if (m_output) m_output->setSourceModel(m_input);
Chris@320: }
Chris@320: 
Chris@331: FeatureExtractionModelTransformer::~FeatureExtractionModelTransformer()
Chris@320: {
Chris@331:     std::cerr << "FeatureExtractionModelTransformer::~FeatureExtractionModelTransformer()" << std::endl;
Chris@320:     delete m_plugin;
Chris@320:     delete m_descriptor;
Chris@320: }
Chris@320: 
Chris@320: DenseTimeValueModel *
Chris@331: FeatureExtractionModelTransformer::getInput()
Chris@320: {
Chris@320:     DenseTimeValueModel *dtvm =
Chris@320: 	dynamic_cast<DenseTimeValueModel *>(getInputModel());
Chris@320:     if (!dtvm) {
Chris@331: 	std::cerr << "FeatureExtractionModelTransformer::getInput: WARNING: Input model is not conformable to DenseTimeValueModel" << std::endl;
Chris@320:     }
Chris@320:     return dtvm;
Chris@320: }
Chris@320: 
Chris@320: void
Chris@331: FeatureExtractionModelTransformer::run()
Chris@320: {
Chris@320:     DenseTimeValueModel *input = getInput();
Chris@320:     if (!input) return;
Chris@320: 
Chris@320:     if (!m_output) return;
Chris@320: 
Chris@320:     while (!input->isReady()) {
Chris@320: /*
Chris@320:         if (dynamic_cast<WaveFileModel *>(input)) {
Chris@331:             std::cerr << "FeatureExtractionModelTransformer::run: Model is not ready, but it's not a WaveFileModel (it's a " << typeid(input).name() << "), so that's OK" << std::endl;
Chris@320:             sleep(2);
Chris@320:             break; // no need to wait
Chris@320:         }
Chris@320: */
Chris@331:         std::cerr << "FeatureExtractionModelTransformer::run: Waiting for input model to be ready..." << std::endl;
Chris@320:         sleep(1);
Chris@320:     }
Chris@320: 
Chris@320:     size_t sampleRate = m_input->getSampleRate();
Chris@320: 
Chris@320:     size_t channelCount = input->getChannelCount();
Chris@320:     if (m_plugin->getMaxChannelCount() < channelCount) {
Chris@320: 	channelCount = 1;
Chris@320:     }
Chris@320: 
Chris@320:     float **buffers = new float*[channelCount];
Chris@320:     for (size_t ch = 0; ch < channelCount; ++ch) {
Chris@320: 	buffers[ch] = new float[m_context.blockSize + 2];
Chris@320:     }
Chris@320: 
Chris@320:     bool frequencyDomain = (m_plugin->getInputDomain() ==
Chris@320:                             Vamp::Plugin::FrequencyDomain);
Chris@320:     std::vector<FFTModel *> fftModels;
Chris@320: 
Chris@320:     if (frequencyDomain) {
Chris@320:         for (size_t ch = 0; ch < channelCount; ++ch) {
Chris@320:             FFTModel *model = new FFTModel
Chris@320:                                   (getInput(),
Chris@320:                                    channelCount == 1 ? m_context.channel : ch,
Chris@320:                                    m_context.windowType,
Chris@320:                                    m_context.blockSize,
Chris@320:                                    m_context.stepSize,
Chris@320:                                    m_context.blockSize,
Chris@334:                                    false,
Chris@334:                                    StorageAdviser::PrecisionCritical);
Chris@320:             if (!model->isOK()) {
Chris@320:                 QMessageBox::critical
Chris@320:                     (0, tr("FFT cache failed"),
Chris@320:                      tr("Failed to create the FFT model for this transform.\n"
Chris@320:                         "There may be insufficient memory or disc space to continue."));
Chris@320:                 delete model;
Chris@320:                 setCompletion(100);
Chris@320:                 return;
Chris@320:             }
Chris@320:             model->resume();
Chris@320:             fftModels.push_back(model);
Chris@320:         }
Chris@320:     }
Chris@320: 
Chris@320:     long startFrame = m_input->getStartFrame();
Chris@320:     long   endFrame = m_input->getEndFrame();
Chris@320: 
Chris@320:     long contextStart = m_context.startFrame;
Chris@320:     long contextDuration = m_context.duration;
Chris@320: 
Chris@320:     if (contextStart == 0 || contextStart < startFrame) {
Chris@320:         contextStart = startFrame;
Chris@320:     }
Chris@320: 
Chris@320:     if (contextDuration == 0) {
Chris@320:         contextDuration = endFrame - contextStart;
Chris@320:     }
Chris@320:     if (contextStart + contextDuration > endFrame) {
Chris@320:         contextDuration = endFrame - contextStart;
Chris@320:     }
Chris@320: 
Chris@320:     long blockFrame = contextStart;
Chris@320: 
Chris@320:     long prevCompletion = 0;
Chris@320: 
Chris@320:     setCompletion(0);
Chris@320: 
Chris@320:     while (!m_abandoned) {
Chris@320: 
Chris@320:         if (frequencyDomain) {
Chris@320:             if (blockFrame - int(m_context.blockSize)/2 >
Chris@320:                 contextStart + contextDuration) break;
Chris@320:         } else {
Chris@320:             if (blockFrame >= 
Chris@320:                 contextStart + contextDuration) break;
Chris@320:         }
Chris@320: 
Chris@331: //	std::cerr << "FeatureExtractionModelTransformer::run: blockFrame "
Chris@320: //		  << blockFrame << ", endFrame " << endFrame << ", blockSize "
Chris@320: //                  << m_context.blockSize << std::endl;
Chris@320: 
Chris@320: 	long completion =
Chris@320: 	    (((blockFrame - contextStart) / m_context.stepSize) * 99) /
Chris@320: 	    (contextDuration / m_context.stepSize);
Chris@320: 
Chris@320: 	// channelCount is either m_input->channelCount or 1
Chris@320: 
Chris@320:         for (size_t ch = 0; ch < channelCount; ++ch) {
Chris@320:             if (frequencyDomain) {
Chris@320:                 int column = (blockFrame - startFrame) / m_context.stepSize;
Chris@320:                 for (size_t i = 0; i <= m_context.blockSize/2; ++i) {
Chris@320:                     fftModels[ch]->getValuesAt
Chris@320:                         (column, i, buffers[ch][i*2], buffers[ch][i*2+1]);
Chris@320:                 }
Chris@320:             } else {
Chris@320:                 getFrames(ch, channelCount, 
Chris@320:                           blockFrame, m_context.blockSize, buffers[ch]);
Chris@320:             }                
Chris@320:         }
Chris@320: 
Chris@320: 	Vamp::Plugin::FeatureSet features = m_plugin->process
Chris@320: 	    (buffers, Vamp::RealTime::frame2RealTime(blockFrame, sampleRate));
Chris@320: 
Chris@320: 	for (size_t fi = 0; fi < features[m_outputFeatureNo].size(); ++fi) {
Chris@320: 	    Vamp::Plugin::Feature feature =
Chris@320: 		features[m_outputFeatureNo][fi];
Chris@320: 	    addFeature(blockFrame, feature);
Chris@320: 	}
Chris@320: 
Chris@320: 	if (blockFrame == contextStart || completion > prevCompletion) {
Chris@320: 	    setCompletion(completion);
Chris@320: 	    prevCompletion = completion;
Chris@320: 	}
Chris@320: 
Chris@320: 	blockFrame += m_context.stepSize;
Chris@320:     }
Chris@320: 
Chris@320:     if (m_abandoned) return;
Chris@320: 
Chris@320:     Vamp::Plugin::FeatureSet features = m_plugin->getRemainingFeatures();
Chris@320: 
Chris@320:     for (size_t fi = 0; fi < features[m_outputFeatureNo].size(); ++fi) {
Chris@320: 	Vamp::Plugin::Feature feature =
Chris@320: 	    features[m_outputFeatureNo][fi];
Chris@320: 	addFeature(blockFrame, feature);
Chris@320:     }
Chris@320: 
Chris@320:     if (frequencyDomain) {
Chris@320:         for (size_t ch = 0; ch < channelCount; ++ch) {
Chris@320:             delete fftModels[ch];
Chris@320:         }
Chris@320:     }
Chris@320: 
Chris@320:     setCompletion(100);
Chris@320: }
Chris@320: 
Chris@320: void
Chris@331: FeatureExtractionModelTransformer::getFrames(int channel, int channelCount,
Chris@320:                                             long startFrame, long size,
Chris@320:                                             float *buffer)
Chris@320: {
Chris@320:     long offset = 0;
Chris@320: 
Chris@320:     if (startFrame < 0) {
Chris@320:         for (int i = 0; i < size && startFrame + i < 0; ++i) {
Chris@320:             buffer[i] = 0.0f;
Chris@320:         }
Chris@320:         offset = -startFrame;
Chris@320:         size -= offset;
Chris@320:         if (size <= 0) return;
Chris@320:         startFrame = 0;
Chris@320:     }
Chris@320: 
Chris@320:     long got = getInput()->getData
Chris@320:         ((channelCount == 1 ? m_context.channel : channel),
Chris@320:          startFrame, size, buffer + offset);
Chris@320: 
Chris@320:     while (got < size) {
Chris@320:         buffer[offset + got] = 0.0;
Chris@320:         ++got;
Chris@320:     }
Chris@320: 
Chris@320:     if (m_context.channel == -1 && channelCount == 1 &&
Chris@320:         getInput()->getChannelCount() > 1) {
Chris@320:         // use mean instead of sum, as plugin input
Chris@320:         int cc = getInput()->getChannelCount();
Chris@320:         for (long i = 0; i < size; ++i) {
Chris@320:             buffer[i] /= cc;
Chris@320:         }
Chris@320:     }
Chris@320: }
Chris@320: 
Chris@320: void
Chris@331: FeatureExtractionModelTransformer::addFeature(size_t blockFrame,
Chris@320: 					     const Vamp::Plugin::Feature &feature)
Chris@320: {
Chris@320:     size_t inputRate = m_input->getSampleRate();
Chris@320: 
Chris@331: //    std::cerr << "FeatureExtractionModelTransformer::addFeature("
Chris@320: //	      << blockFrame << ")" << std::endl;
Chris@320: 
Chris@320:     int binCount = 1;
Chris@320:     if (m_descriptor->hasFixedBinCount) {
Chris@320: 	binCount = m_descriptor->binCount;
Chris@320:     }
Chris@320: 
Chris@320:     size_t frame = blockFrame;
Chris@320: 
Chris@320:     if (m_descriptor->sampleType ==
Chris@320: 	Vamp::Plugin::OutputDescriptor::VariableSampleRate) {
Chris@320: 
Chris@320: 	if (!feature.hasTimestamp) {
Chris@320: 	    std::cerr
Chris@331: 		<< "WARNING: FeatureExtractionModelTransformer::addFeature: "
Chris@320: 		<< "Feature has variable sample rate but no timestamp!"
Chris@320: 		<< std::endl;
Chris@320: 	    return;
Chris@320: 	} else {
Chris@320: 	    frame = Vamp::RealTime::realTime2Frame(feature.timestamp, inputRate);
Chris@320: 	}
Chris@320: 
Chris@320:     } else if (m_descriptor->sampleType ==
Chris@320: 	       Vamp::Plugin::OutputDescriptor::FixedSampleRate) {
Chris@320: 
Chris@320: 	if (feature.hasTimestamp) {
Chris@320: 	    //!!! warning: sampleRate may be non-integral
Chris@320: 	    frame = Vamp::RealTime::realTime2Frame(feature.timestamp,
Chris@320:                                                    lrintf(m_descriptor->sampleRate));
Chris@320: 	} else {
Chris@320: 	    frame = m_output->getEndFrame();
Chris@320: 	}
Chris@320:     }
Chris@320: 	
Chris@320:     if (binCount == 0) {
Chris@320: 
Chris@320: 	SparseOneDimensionalModel *model = getOutput<SparseOneDimensionalModel>();
Chris@320: 	if (!model) return;
Chris@320: 	model->addPoint(SparseOneDimensionalModel::Point(frame, feature.label.c_str()));
Chris@320: 	
Chris@320:     } else if (binCount == 1) {
Chris@320: 
Chris@320: 	float value = 0.0;
Chris@320: 	if (feature.values.size() > 0) value = feature.values[0];
Chris@320: 
Chris@320: 	SparseTimeValueModel *model = getOutput<SparseTimeValueModel>();
Chris@320: 	if (!model) return;
Chris@320: 	model->addPoint(SparseTimeValueModel::Point(frame, value, feature.label.c_str()));
Chris@320: //        std::cerr << "SparseTimeValueModel::addPoint(" << frame << ", " << value << "), " << feature.label.c_str() << std::endl;
Chris@320: 
Chris@320:     } else if (m_descriptor->sampleType == 
Chris@320: 	       Vamp::Plugin::OutputDescriptor::VariableSampleRate) {
Chris@320: 
Chris@320:         float pitch = 0.0;
Chris@320:         if (feature.values.size() > 0) pitch = feature.values[0];
Chris@320: 
Chris@320:         float duration = 1;
Chris@320:         if (feature.values.size() > 1) duration = feature.values[1];
Chris@320:         
Chris@320:         float velocity = 100;
Chris@320:         if (feature.values.size() > 2) velocity = feature.values[2];
Chris@320: 
Chris@320:         NoteModel *model = getOutput<NoteModel>();
Chris@320:         if (!model) return;
Chris@320: 
Chris@320:         model->addPoint(NoteModel::Point(frame, pitch,
Chris@320:                                          lrintf(duration),
Chris@320:                                          feature.label.c_str()));
Chris@320: 	
Chris@320:     } else {
Chris@320: 	
Chris@320: 	DenseThreeDimensionalModel::Column values = feature.values;
Chris@320: 	
Chris@320: 	EditableDenseThreeDimensionalModel *model =
Chris@320:             getOutput<EditableDenseThreeDimensionalModel>();
Chris@320: 	if (!model) return;
Chris@320: 
Chris@320: 	model->setColumn(frame / model->getResolution(), values);
Chris@320:     }
Chris@320: }
Chris@320: 
Chris@320: void
Chris@331: FeatureExtractionModelTransformer::setCompletion(int completion)
Chris@320: {
Chris@320:     int binCount = 1;
Chris@320:     if (m_descriptor->hasFixedBinCount) {
Chris@320: 	binCount = m_descriptor->binCount;
Chris@320:     }
Chris@320: 
Chris@331: //    std::cerr << "FeatureExtractionModelTransformer::setCompletion("
Chris@320: //              << completion << ")" << std::endl;
Chris@320: 
Chris@320:     if (binCount == 0) {
Chris@320: 
Chris@320: 	SparseOneDimensionalModel *model = getOutput<SparseOneDimensionalModel>();
Chris@320: 	if (!model) return;
Chris@333: 	model->setCompletion(completion, m_context.updates);
Chris@320: 
Chris@320:     } else if (binCount == 1) {
Chris@320: 
Chris@320: 	SparseTimeValueModel *model = getOutput<SparseTimeValueModel>();
Chris@320: 	if (!model) return;
Chris@333: 	model->setCompletion(completion, m_context.updates);
Chris@320: 
Chris@320:     } else if (m_descriptor->sampleType ==
Chris@320: 	       Vamp::Plugin::OutputDescriptor::VariableSampleRate) {
Chris@320: 
Chris@320: 	NoteModel *model = getOutput<NoteModel>();
Chris@320: 	if (!model) return;
Chris@333: 	model->setCompletion(completion, m_context.updates);
Chris@320: 
Chris@320:     } else {
Chris@320: 
Chris@320: 	EditableDenseThreeDimensionalModel *model =
Chris@320:             getOutput<EditableDenseThreeDimensionalModel>();
Chris@320: 	if (!model) return;
Chris@333: 	model->setCompletion(completion, m_context.updates);
Chris@320:     }
Chris@320: }
Chris@320: